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20242026
most citedA KAN-based Interpretable Framework for Process-Informed Prediction of Global Warming Potential

1 citations · 1 across the 5 of their papers we have counts for

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q-bio.QM2026

PyOMES: an open-source framework for biochemical process modelling

Ethan Errington, Tom Vinestock, Jaewook Lee +1

PyOMES is a Python-based, Open-source Modelling Environment for (bio)chemical process Simulation that aims to simplify the modelling of dynamic (including steady state) processes.…

cs.LG2026

Transfer Learning Architectures for Scalable Multi-Fidelity Bayesian Optimization

Jaewook Lee, Ethan Errington, Christian D. Lorenz +1

Self-driving laboratories increasingly rely on multi-fidelity Bayesian optimization (MFBO) to balance cheap, approximate evaluations against scarce, expensive ones, with a predicti…